8 citations · 9 across the 3 of their papers we have counts for
3 papers
Adiabatic Quantum Support Vector Machines
Prasanna Date, Dong Jun Woun, Kathleen Hamilton +7
Adiabatic quantum computers can solve difficult optimization problems (e.g., the quadratic unconstrained binary optimization problem), and they seem well suited to train machine le…
Transferring a molecular foundation model for polymer property predictions
Pei Zhang, Logan Kearney, Debsindhu Bhowmik +3
Transformer-based large language models have remarkable potential to accelerate design optimization for applications such as drug development and materials discovery. Self-supervis…
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang +89
In the upcoming decade, deep learning may revolutionize the natural sciences, enhancing our capacity to model and predict natural occurrences. This could herald a new era of scient…